Client-Name
Leo
Country
Australia
Platform
Mobile App
The customer's vision of using a chatbot to conduct machine learning experiments and transform their client communication is innovative and forward-thinking. By building a chatbot capable of extracting text from scanned documents and saving it in an organized database-like format, they can provide a cutting-edge solution for information retrieval and client interactions. Integrating various elements like ChatGPT, OCR libraries, and database management can lead to a powerful tool for handling user queries and extracting information from scanned documents.
The customer intended to test the boundaries of its digital business by building a chatbot that would enable machine learning experiments. The objective was to alter how it communicates with its clients. The client requested a chatbot to answer questions by extracting text from scanned documents and saving it in an organized database-like format. Building custom AI chatbot development for clients and implementing chatbot capabilities is done to enhance customer communications and make it easier for customers to get real-time answers to their questions. They wanted us to develop a chatbot to gather user data and utilize AI to adapt to user demands and behavioural patterns, personalizing and tailoring the entire customer trip. It was crucial to master the art of talking.
We used our extensive knowledge and experience to design and develop an AI Chatbot with the following features:
We trained the ChatGPT model to ensure correct responses to users
Customers can get immediate assistance to bypass lines or speak with service representatives
The AI chatbot may build a database and learn from the scanned documents
OCR libraries or SDKs to extract text from scanned documents and learn from it
The Chatbot provides customers with information, generates leads, and increases revenue
The app uses behavioral analytics reports to gain an in-depth understanding of chatbot and customer interactions
We launched an AI Chatbot app with the below features to help our client boost sales and customer engagement.
Automated replies and customized quotes are delivered more quickly, helping staff save time.
By giving clients prompt responses to their queries, the chatbot has reduced wait times for customer service.
With more interactions, one better comprehends the intentions expressed in Human Natural Language.
People are more likely to engage in a conversation instead of reading through much information.
Push notification feature enables the chatbot to notify users even when they aren't interacting with it.
We employ cutting-edge technologies and tools to make sure your applications are built on the latest technology. Have a look at our tech stack
- PHP - Laravel
- Android
- Bootstrap
- JQuery
- iOS - Swift
- Kotlin
- MS-SQL
- AWS
- Play Store
- Apple Store
- Selenium
- Test Rail
- Apache JMeter
- BrowserStack
- Postman
- OWASP ZAP
- MVC
- MVVM
We listen to query and provide solutions that captivate users. Feel free to contact us in case of any query which is not mention below.
The OpenAI chatbot works by processing input text and generating responses using a large network trained on vast amounts of text data. It understands context, language patterns, and generates clear responses based on the input it receives.
Chatbots utilize Natural Language Processing (NLP) and Machine Learning (ML) techniques. NLP helps understand and generate human-like responses, while ML algorithms enable chatbots to learn from interactions and improve over time. These techniques empower chatbots to engage in meaningful conversations and provide accurate assistance.